Abstract: Technologies for contention-aware cloud compute scheduling include a number of compute nodes in a cloud computing cluster and a cloud controller. Each compute node collects performance data indicative of cache contention on the compute node, for example, cache misses per thousand instructions. Each compute node determines a contention score as a function of the performance data and stores the contention score in a cloud state database. In response to a request for a new virtual machine, the cloud controller receives contention scores for the compute nodes and selects a compute node based on the contention score. The cloud controller schedules the new virtual machine on the selected compute node. The contention score may include a contention metric and a contention score level indicative of the contention metric. The contention score level may be determined by comparing the contention metric to a number of thresholds. Other embodiments are described and claimed.

Abstract: Technologies for adjusting server power consumption include a computing device to receive resource utilization data from a plurality of servers. The computing device identifies a source server and a destination server of the plurality of servers based on the resource utilization data and calculates the difference in resource utilization between the identified source server and the identified destination server based on the resource utilization data. If the computing device determines that the difference exceeds a threshold value, the computing device increases processor utilization of a processor of the source server by a power consumption change amount and decreases processor utilization of a processor of the destination server by a corresponding power consumption change amount to balance the servers' resources and create more head-room to place new workloads on the servers.

Abstract: Technologies for adjusting server power consumption include a computing device to receive resource utilization data from a plurality of servers. The computing device identifies a source server and a destination server of the plurality of servers based on the resource utilization data and calculates the difference in resource utilization between the identified source server and the identified destination server based on the resource utilization data. If the computing device determines that the difference exceeds a threshold value, the computing device increases processor utilization of a processor of the source server by a power consumption change amount and decreases processor utilization of a processor of the destination server by a corresponding power consumption change amount to balance the servers' resources and create more head-room to place new workloads on the servers.